[Release 1.12.0] Add release logs for 1.12.0rc1 (#23508)

Add release logs for 1.12.0rc1. The base is 1.11.0rc1.
This commit is contained in:
Jian Xiao 2022-04-07 11:23:04 -07:00 committed by GitHub
parent 7c67a4f1d0
commit c23cae660d
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
10 changed files with 400 additions and 0 deletions

View file

@ -0,0 +1,15 @@
{
"_peak_memory": 5.24,
"_peak_process_memory": "PID\tMEM\tCOMMAND\n182\t1.68GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n1570\t0.85GiB\tpython distributed/test_many_actors.py\n207\t0.28GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/dash\n69\t0.11GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n441\t0.11GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session auth_start\n279\t0.1GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/agen\n1615\t0.06GiB\tray::MemoryMonitorActor.run()\n399\t0.05GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=33aa41d5\n70\t0.05GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=33aa41d5\n200\t0.05GiB\t/home/ray/anaconda3/bin/python -m ray.util.client.server --address=172.31.64.250:9031 --host=0.0.0.0",
"actors_per_second": 388.8916884876979,
"num_actors": 10000,
"perf_metrics": [
{
"perf_metric_name": "actors_per_second",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 388.8916884876979
}
],
"success": "1",
"time": 25.71410059928894
}

View file

@ -0,0 +1,8 @@
{
"_peak_memory": 3.85,
"_peak_process_memory": "PID\tMEM\tCOMMAND\n207\t0.26GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/dash\n182\t0.17GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n1927\t0.15GiB\tpython distributed/test_many_tasks.py --num-tasks=1000\n283\t0.13GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/agen\n69\t0.11GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n441\t0.11GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session auth_start\n1973\t0.06GiB\tray::MemoryMonitorActor.run()\n70\t0.05GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=31a3d4a5\n398\t0.05GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=31a3d4a5\n200\t0.05GiB\t/home/ray/anaconda3/bin/python -m ray.util.client.server --address=172.31.71.106:9031 --host=0.0.0.0",
"num_tasks": 1000,
"success": "1",
"tasks_per_second": 7.071159188773613,
"time": 441.41952872276306
}

View file

@ -0,0 +1,15 @@
{
"_peak_memory": 3.4,
"_peak_process_memory": "PID\tMEM\tCOMMAND\n183\t0.65GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n1436\t0.25GiB\tpython distributed/test_many_pgs.py\n208\t0.16GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/dash\n70\t0.11GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n442\t0.11GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session auth_start\n285\t0.11GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/agen\n1482\t0.06GiB\tray::MemoryMonitorActor.run()\n71\t0.05GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=a17a4170\n400\t0.05GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=a17a4170\n201\t0.05GiB\t/home/ray/anaconda3/bin/python -m ray.util.client.server --address=172.31.76.187:9031 --host=0.0.0.0",
"num_pgs": 1000,
"perf_metrics": [
{
"perf_metric_name": "pgs_per_second",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 15.461145827030657
}
],
"pgs_per_second": 15.461145827030657,
"success": "1",
"time": 64.67825937271118
}

View file

@ -0,0 +1,8 @@
{
"_peak_memory": 5.56,
"_peak_process_memory": "PID\tMEM\tCOMMAND\n182\t1.51GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n1466\t0.7GiB\tpython distributed/test_many_tasks.py --num-tasks=10000\n207\t0.47GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/dash\n284\t0.13GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/agen\n69\t0.11GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n441\t0.11GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session auth_start\n1509\t0.06GiB\tray::MemoryMonitorActor.run()\n70\t0.05GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=616b31bc\n401\t0.05GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=616b31bc\n200\t0.05GiB\t/home/ray/anaconda3/bin/python -m ray.util.client.server --address=172.31.84.178:9031 --host=0.0.0.0",
"num_tasks": 10000,
"success": "1",
"tasks_per_second": 28.467452565657783,
"time": 651.2783582210541
},

View file

@ -0,0 +1,274 @@
{
"1_1_actor_calls_async": [
6740.778737343926,
151.49967695531075
],
"1_1_actor_calls_concurrent": [
4918.4495821598985,
20.903808340166396
],
"1_1_actor_calls_sync": [
2886.6389542392126,
24.695440872566998
],
"1_1_async_actor_calls_async": [
3495.6834516935414,
152.0190142729796
],
"1_1_async_actor_calls_sync": [
1993.4365984056246,
88.50253491365082
],
"1_1_async_actor_calls_with_args_async": [
2531.2024338615884,
149.5811395360748
],
"1_n_actor_calls_async": [
13864.93124252725,
193.2873726340974
],
"1_n_async_actor_calls_async": [
12086.34279237254,
179.69835285978937
],
"client__1_1_actor_calls_async": [
925.7971574135447,
11.629895574057187
],
"client__1_1_actor_calls_concurrent": [
930.4997845873929,
10.420162071443412
],
"client__1_1_actor_calls_sync": [
535.3811503308413,
3.02536760907699
],
"client__get_calls": [
1105.2486940332228,
26.96507677829818
],
"client__put_calls": [
824.8004527748432,
8.459507220233336
],
"client__put_gigabytes": [
0.04568519320677382,
0.00027019849382588164
],
"client__tasks_and_get_batch": [
0.8864171309528786,
0.017186564269174465
],
"client__tasks_and_put_batch": [
9746.303702143603,
166.3640576522967
],
"multi_client_put_calls_Plasma_Store": [
11175.884905852514,
43.27747605603915
],
"multi_client_put_gigabytes": [
34.13474334074368,
1.484673808390538
],
"multi_client_tasks_async": [
46643.491161824466,
737.9848957551424
],
"n_n_actor_calls_async": [
38701.165896163235,
913.9296319129271
],
"n_n_actor_calls_with_arg_async": [
3336.5399182537953,
20.639743677268793
],
"n_n_async_actor_calls_async": [
31288.975608880362,
769.0921753685952
],
"perf_metrics": [
{
"perf_metric_name": "single_client_get_calls_Plasma_Store",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 5677.386970352641
},
{
"perf_metric_name": "single_client_put_calls_Plasma_Store",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 5872.5741826883
},
{
"perf_metric_name": "multi_client_put_calls_Plasma_Store",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 11175.884905852514
},
{
"perf_metric_name": "single_client_put_gigabytes",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 20.36422478362875
},
{
"perf_metric_name": "single_client_tasks_and_get_batch",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 13.264876390853791
},
{
"perf_metric_name": "multi_client_put_gigabytes",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 34.13474334074368
},
{
"perf_metric_name": "single_client_get_object_containing_10k_refs",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 13.158313393087003
},
{
"perf_metric_name": "single_client_tasks_sync",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 1780.5264936087756
},
{
"perf_metric_name": "single_client_tasks_async",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 13963.851138997034
},
{
"perf_metric_name": "multi_client_tasks_async",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 46643.491161824466
},
{
"perf_metric_name": "1_1_actor_calls_sync",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 2886.6389542392126
},
{
"perf_metric_name": "1_1_actor_calls_async",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 6740.778737343926
},
{
"perf_metric_name": "1_1_actor_calls_concurrent",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 4918.4495821598985
},
{
"perf_metric_name": "1_n_actor_calls_async",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 13864.93124252725
},
{
"perf_metric_name": "n_n_actor_calls_async",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 38701.165896163235
},
{
"perf_metric_name": "n_n_actor_calls_with_arg_async",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 3336.5399182537953
},
{
"perf_metric_name": "1_1_async_actor_calls_sync",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 1993.4365984056246
},
{
"perf_metric_name": "1_1_async_actor_calls_async",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 3495.6834516935414
},
{
"perf_metric_name": "1_1_async_actor_calls_with_args_async",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 2531.2024338615884
},
{
"perf_metric_name": "1_n_async_actor_calls_async",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 12086.34279237254
},
{
"perf_metric_name": "n_n_async_actor_calls_async",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 31288.975608880362
},
{
"perf_metric_name": "placement_group_create/removal",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 1390.0491501960296
},
{
"perf_metric_name": "client__get_calls",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 1105.2486940332228
},
{
"perf_metric_name": "client__put_calls",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 824.8004527748432
},
{
"perf_metric_name": "client__put_gigabytes",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 0.04568519320677382
},
{
"perf_metric_name": "client__tasks_and_put_batch",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 9746.303702143603
},
{
"perf_metric_name": "client__1_1_actor_calls_sync",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 535.3811503308413
},
{
"perf_metric_name": "client__1_1_actor_calls_async",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 925.7971574135447
},
{
"perf_metric_name": "client__1_1_actor_calls_concurrent",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 930.4997845873929
},
{
"perf_metric_name": "client__tasks_and_get_batch",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 0.8864171309528786
}
],
"placement_group_create/removal": [
1390.0491501960296,
27.22130814193758
],
"single_client_get_calls_Plasma_Store": [
5677.386970352641,
232.3656538872855
],
"single_client_get_object_containing_10k_refs": [
13.158313393087003,
0.038157203187742975
],
"single_client_put_calls_Plasma_Store": [
5872.5741826883,
24.00077430200989
],
"single_client_put_gigabytes": [
20.36422478362875,
5.53309324955133
],
"single_client_tasks_and_get_batch": [
13.264876390853791,
0.12520126112341087
],
"single_client_tasks_async": [
13963.851138997034,
283.70181917283963
],
"single_client_tasks_sync": [
1780.5264936087756,
28.97667435345414
]
}

View file

@ -0,0 +1,13 @@
{
"broadcast_time": 87.82919862000006,
"num_nodes": 50,
"object_size": 1073741824,
"perf_metrics": [
{
"perf_metric_name": "time_to_broadcast_1073741824_bytes_to_50_nodes",
"perf_metric_type": "LATENCY",
"perf_metric_value": 87.82919862000006
}
],
"success": "1"
}

View file

@ -0,0 +1,40 @@
{
"args_time": 17.64882186700001,
"get_time": 26.161677794000013,
"large_object_size": 107374182400,
"large_object_time": 278.229619538,
"num_args": 10000,
"num_get_args": 10000,
"num_queued": 1000000,
"num_returns": 3000,
"perf_metrics": [
{
"perf_metric_name": "10000_args_time",
"perf_metric_type": "LATENCY",
"perf_metric_value": 17.64882186700001
},
{
"perf_metric_name": "3000_returns_time",
"perf_metric_type": "LATENCY",
"perf_metric_value": 5.702168999999998
},
{
"perf_metric_name": "10000_get_time",
"perf_metric_type": "LATENCY",
"perf_metric_value": 26.161677794000013
},
{
"perf_metric_name": "1000000_queued_time",
"perf_metric_type": "LATENCY",
"perf_metric_value": 150.458849804
},
{
"perf_metric_name": "107374182400_large_object_time",
"perf_metric_type": "LATENCY",
"perf_metric_value": 278.229619538
}
],
"queued_time": 150.458849804,
"returns_time": 5.702168999999998,
"success": "1"
}

View file

@ -0,0 +1,7 @@
{
"avg_iteration_time": 1.4770093488693237,
"max_iteration_time": 5.566390752792358,
"min_iteration_time": 0.16166377067565918,
"success": 1,
"total_time": 147.7012598514557
}

View file

@ -0,0 +1,15 @@
{
"stage_0_time": 6.007530212402344,
"stage_1_avg_iteration_time": 19.269780373573305,
"stage_1_max_iteration_time": 20.231750011444092,
"stage_1_min_iteration_time": 18.361438751220703,
"stage_1_time": 192.69790053367615,
"stage_2_avg_iteration_time": 55.27566561698914,
"stage_2_max_iteration_time": 56.53947997093201,
"stage_2_min_iteration_time": 53.03127360343933,
"stage_2_time": 276.3792636394501,
"stage_3_creation_time": 0.06605648994445801,
"stage_3_time": 2362.923815011978,
"stage_4_spread": 2.715341642450062,
"success": 1
}

View file

@ -0,0 +1,5 @@
{
"avg_pg_create_time_ms": 0.8591420345345346,
"avg_pg_remove_time_ms": 3.3398067492495156,
"success": 1
}